2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) 2017
DOI: 10.1109/icis.2017.7960119
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STM32-based vehicle data acquisition system for Internet-of-Vehicles

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Cited by 26 publications
(12 citation statements)
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“…Xie et al [178] had proposed STM32-based vehicle data acquisition approach for IoV to improve the feasibility and effectiveness of DAS (Data Acquisition Systems). Yanting et al [179] had expressed that the vehicle state is essential to predict the vehicle's position, acceleration and velocity.…”
Section: Big-data Qosmentioning
confidence: 99%
“…Xie et al [178] had proposed STM32-based vehicle data acquisition approach for IoV to improve the feasibility and effectiveness of DAS (Data Acquisition Systems). Yanting et al [179] had expressed that the vehicle state is essential to predict the vehicle's position, acceleration and velocity.…”
Section: Big-data Qosmentioning
confidence: 99%
“…To address these issues, authors have proposed a comprehensive framework that supports a layered design architecture capable of providing a seamless integration for communication. Xie et al [83] discussed a new era of IoV where vehicles are equipped with different kinds of sensors and become sensor nodes themselves, and propose that such vehicles will require a data acquisition system (DAS), where the vehicle data transferred on CAN networks are acquired through OBD2 (On-Broad Diagnosis) interface. The aim is to guarantee the safe operation of vehicles and improve driving experience through acquiring vehicle data in real-time in order to realize the online diagnosis.…”
Section: ) Vehicle-to-sensors (V2s) Interaction Modelsmentioning
confidence: 99%
“…For these communication systems, Data Acquisition System (DAS) is required where the vehicular data is transferred on the network through on road diagnosis interface. It helps in avoiding accidents, renders safety driving and improves driving experience [33]. Figure 2 shows the layout of an immediate connection between these gadgets and the IoV server.…”
Section: Interactive Modelmentioning
confidence: 99%